An aggregating based model order reduction method for power grids

Simulation of power girds has become increasingly computationally expensive. In this paper, we propose a Model Order Reduction (MOR) method for power grids by extending the existing Aggregating based MOR (AMOR) method. In the proposed method, besides resistors and capacitors, current sources are als...

Full description

Saved in:
Bibliographic Details
Published inIntegration (Amsterdam) Vol. 55; pp. 449 - 454
Main Authors Huang, Qicheng, Li, Xiao, Fang, Chenlei, Yang, Fan, Su, Yangfeng, Zeng, Xuan
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.09.2016
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Simulation of power girds has become increasingly computationally expensive. In this paper, we propose a Model Order Reduction (MOR) method for power grids by extending the existing Aggregating based MOR (AMOR) method. In the proposed method, besides resistors and capacitors, current sources are also aggregated to improve MOR efficiency. Moreover, pre-partition and parallelization techniques are employed to decrease reduction time. Numerical results demonstrate that compared to original circuits, the scale of power grids is greatly reduced without much loss of accuracy. The reduced-order models are especially useful in the multiple simulations of different working modes or different environment corners. •We propose a Model Order Reduction (MOR) method for power grid circuits.•We aggregate current sources to improve MOR efficiency.•Pre-partition and parallelization techniques are employed to decrease reduction time.•The scale of power grids is greatly reduced without much loss of accuracy.•The reduced-order models are especially useful in the multiple simulations of different working modes or different environment corners.
ISSN:0167-9260
1872-7522
DOI:10.1016/j.vlsi.2016.04.010